Data Engineer
Weekday AI (company site, opens in a new tab)12โ15 yrsHyderabadOn-siteDirect career pageEst. 25โ30 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Weekday AI
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Weekday AI you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own business systems analysis for enterprise data transformation and cloud platform initiatives using Microsoft Azure data ecosystem.
- Gather, analyse, and document detailed data, functional, and business requirements supporting development and enhancement of Azure-based data platforms.
- Define and communicate data models, data quality standards, KPIs, and business rules across data layers, collaborating closely with technical and business stakeholders.
Minimum Requirements
- 12โ15 years of experience in Business Analysis or Business Systems Analysis with focus on data-driven initiatives.
- Strong expertise in Microsoft Azure data ecosystem, including ADLS, Databricks, and SQL.
- Proven experience in enterprise data platforms, cloud transformation, or data modernisation projects.
- Bachelorโs or masterโs degree in Computer Science, IT, Business, Engineering, Data Analytics, or related field.
Ideal Candidate Profile
- Experienced in bridging business and technical teams to translate complex data needs into actionable requirements for scalable, governed data platforms.
- Strong analytical background with ability to define data flows, quality standards, and KPIs for enterprise-wide data products.
- Skilled in Agile methodologies and coordinating across cross-functional distributed teams managing competing priorities.